code: def aurora_cmap():
      """Return a colormap with aurora like colors"""
      stops = {
          "red": [
              (0.00, 0.1725, 0.1725),
              (0.50, 0.1725, 0.1725),
              (1.00, 0.8353, 0.8353),
          ],
          "green": [
              (0.00, 0.9294, 0.9294),
              (0.50, 0.9294, 0.9294),
              (1.00, 0.8235, 0.8235),
          ],
          "blue": [
              (0.00, 0.3843, 0.3843),
              (0.50, 0.3843, 0.3843),
              (1.00, 0.6549, 0.6549),
          ],
          "alpha": [
              (0.00, 0.0, 0.0),
              (0.50, 1.0, 1.0),
              (1.00, 1.0, 1.0),
          ],
      }
  
      return LinearSegmentedColormap("aurora", stops)
  
file_path: cartopy/examples/scalar_data/aurora_forecast.py
imports: from datetime import datetime
  import json
  from urllib.request import urlopen
  from matplotlib.colors import LinearSegmentedColormap
  import matplotlib.pyplot
  import numpy
  import cartopy.crs
  from cartopy.feature.nightshade import Nightshade
label_desc: Use image node_id 2 for calling a global function with example usage: aurora_cmap() and returns: LinearSegmentedColormap